Releases: DimensionSTP/rppg-project
Releases · DimensionSTP/rppg-project
v2.7.0
Adapt weight decay at deepspeed Adam optimizers.
Weight decay hparams tuning.
Model safetensors keep trained dtype.
v2.6.1
Requirements updated.
v2.6.0
Gather and convert as a model.pt after all deepspeed strategy training for uploading hub.
Postprocessing(uploading hub) modules and scripts.
v2.5.0
Fix: unused monitor parameter.
v2.4.3
Tuner refactoring.
v2.4.2
Delete strategy at get_architecture() in SetUp class.
Parameterize direction and monitor at tuner.
Update Packages.txt
v2.4.1
Adapt dot env at soft voting.
v2.4.0
T_max -> period(t_max = period * total steps per epoch), gradient clipping, dotenv, basic scripts.
v2.3.3
A detail of ckpt name changed (using "=") at main config file, specify huggingface cache path at main.py
v2.3.2
Add precision in save_detail, manage total_batch_size param.